Automotive mechatronics

Schöner, Hans-Peter

doi:10.1016/j.conengprac.2003.10.004

Cited by 42 publications

(36 citation statements)

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“…Extensive research has been carried out on gear shift control and control objectives, see [26], [30], [31], [51], [74], and it is shown that the faster and smoother gear shifts are vital for better ride quality and longer life of transmission components. Moreover, AT and AMT system control is important for the improvement of fuel consumption and reduction of emissions [69].…”

Section: Gear Shift Control In Heavy Duty Powertrainmentioning

confidence: 99%

Modeling and Optimal Control of Heavy-Duty Powertrains

Nezhadali

2016

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The cover: The background photo on the cover shows the Roxen lake with Linköping on it's horizon. At the begining of my very first presentation in Linz 2013, I introduced the city of my studies with this picture. I wanted to finish with the same picture which will remind me of my 7 years in Linköping whenever I look at this dissertation. The graphic figure on top of the background, shows the feasible regions of operation for two subsystems, and two sets of state trajectories. More about this is described at the end of chapter 2. Typeset with L A T E X 2εPrinted by LiU-Tryck, Linköping, Sweden 2016 To Samira and my parents i AbstractHeavy duty powertrains are complex systems with components from various domains, different response times during transient operations and different efficient operating ranges. To ensure efficient transient operation of a powertrain, e.g. with low fuel consumption or short transient duration, it is important to come up with proper control strategies. In this dissertation, optimal control theory is used to calculate and analyze efficient heavy duty powertrain controls during transient operations in different applications. This is enabled by first developing control ready models, usable for multi-phase optimal control problem formulations, and then using numerical optimal control methods to calculate the optimal transients.Optimal control analysis of a wheel loader operating in a repetitive loading cycle is the first studied application. Increasing fuel efficiency or reducing the operation time in such repetitive loading cycles sums up to large savings over longer periods of time. Load lifting and vehicle traction consume almost all of the power produced by a diesel engine during wheel loader operation. Physical models are developed for these subsystems where the dynamics are described by differential equations. The model parameters are tuned and fuel consumption estimation is validated against measured values from real wheel loader operation. The sensitivity of wheel loader trajectory with respect to constrains such as the angle at which the wheel loader reaches the unloading position is also analyzed. A time and fuel optimal trajectory map is calculated for various unloading positions. Moreover, the importance of simultaneous optimization of wheel loader trajectory and the component transients is shown via a side to side comparison between measured fuel consumption and trajectories versus optimal control results.In another application, optimal control is used to calculate efficient gear shift controls for a heavy duty Automatic Transmission system. A modeling and optimal control framework is developed for a nine speed automatic transmission. Solving optimal control problems using the developed model, time and jerk efficient transient for simultaneous disengagement of off-going and engagement of in-coming shift actuators are obtained and the results are analyzed.Optimal controls of a diesel-electric powertrain during a gear shift in an Automated Manual Transmission system are calcula...

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Section: Gear Shift Control In Heavy Duty Powertrainmentioning

confidence: 99%

Modeling and Optimal Control of Heavy-Duty Powertrains

Nezhadali

2016

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“…Structural parts or components will be function enablers, developed in the traditional design disciplines. (Also stated as important issue in: [Bonnema, 2008], [Schöner, 2004] [Wang et al, 2002], [TorrySmith et al, 2011], and in case studies 5.5 Lithography System) 31. Model Multi-Domain Information.…”

Section: B2 Integration Issuesmentioning

confidence: 99%

“…It facilitates information transformation between different models and different stakeholders, making it easier to (1) ensure the information remains consistent, since it is stored centrally in the shared data model, (2) integrate the work of the various stakeholders (see figure B.1), and, (3) speed up the design process through the reuse of design information. (Also stated as issue in: [Schöner, 2004], [Wang et al, 2002], [Torry-Smith et al, 2011], [Jackson, 2006], and in case studies 5.4 Baggage Handler, 5.5 Lithography System) 17. Modeling and Communicating System Architectures.…”

Section: B2 Integration Issuesmentioning

confidence: 99%

“…Also, it can occur that important design decisions become 'design rules' in an organization, the rationale behind the decision may not apply anymore, however there is no way of knowing (especially when the decision maker has left the organization). (Also stated as important issue in: [Schöner, 2004], [Wang et al, 2002], [Torry-Smith et al, 2011], [Wasiak et al, 2009], [Reichwein and Paredis, 2011], [Jackson, 2006], and in case studies 5.5 Lithography System, 5.6 Paper Path) 4. Prevent Ambiguity.…”

Section: A Deliverablesmentioning

confidence: 99%

“…As such, the architecture model can be the basis for model based system engineering: the formalized application of modeling to support system requirements, design, analysis, verification and validation activities beginning in the conceptual design phase and continuing throughout development and later life cycle phases [INCOSE, 2006]. (Also stated as issue in: [Schöner, 2004], [Wang et al, 2002], [TorrySmith et al, 2011], [Boucher and Houlihan, 2008], [Nuseibeh, 2000], [Reichwein and Paredis, 2011], [Jackson, 2006], and in case studies 5.5 Lithography System, 5.6 Paper Path)…”

Section: B2 Integration Issuesmentioning

confidence: 99%

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Consistency, integration, and reuse in multi-disciplinary design processes: through an architecture modeling framework

Woestenenk¹

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This work has been published using L A T E X 2 ε and the Twentethesis documentclass.Duurt even, maar dan heb je ook wat... SummaryThe development of modern (mechatronic) systems demands close cooperation between experts from multiple engineering disciplines. These disciplines each speak their own engineering language and can even have conflicting views of what the system is. This leads to a complex situation that impedes the communication between these experts, as well as the integration of design and analysis tools.The main 'pressures' in improving multi disciplinary design are the improvement of system performance, time-to-market and cost. This can be improved by facilitating communication between stakeholders, modeling architectural concerns and other important design information, and facilitating capturing and reusing design knowledge across disciplines. These pressures, however, cannot be subject to direct scientific research, as experiments cannot be easily realized: We cannot let multiple companies perform multiple design processes to compare methods that aim to improve the pressures. Instead, the pressures are 'transformed' in the issues of consistency, integration and reuse, which can be evaluated through case studies. As such, the hypothesis for this thesis is: The consistency, integration and reusability of multi-disciplinary design processes can be improved by facilitating communication between stakeholders, modeling architectural concerns and other important design information, and facilitating capturing and reusing design knowledge across disciplines.To help this communication, multiple stakeholders need to have a shared model to: share design decisions, create common understanding of the design process, share deliverables (workflow), and keep this shared information consistent. In such a model, stakeholders can make their own views to create models for their aspects of the system. The information in these views can be connected to other views, and even reused by copying or referencing. This facilitates the stakeholder gathering the information from multiple sources to do his job, or allow exposing his concerns so he can influence activities performed by experts of other disciplines.The argument of this thesis is: there is a lack of a common language that can describe both the system architecture and information flows in the design process. Such a language should enable us to model the shared information between the designers and their models and the tools that they use. There is no unifying modeling language to exchange information across disciplines, across design process phases and across levels of granularity. This means we lack the means to make a model of all design aspects, especially the ones that cut across the design disciplines. We lack the means to model how information from the mono disciplinary design tasks is handed over to subsequent design tasks. And we lack the means VIII to provide a big picture of how mono disciplinary design information is connected to the abstract system wide ...

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